UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 10 Issue 5
May-2023
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2305C83


Registration ID:
517629

Page Number

m584-m604

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Title

Anticipating Company Success or Failure using Machine learning Model

Abstract

Both scholars and practitioners have always had difficulty predicting the success of a commercial initiative. However, because of businesses that compile data on other businesses, it is now possible to develop and evaluate predictive models based on a record number of real-world instances. In this study, we make use of data from Crunchbase, one of the biggest platforms for integrating company data. 223182 businesses made up our final training set. In order to anticipate a company's performance, this effort tries to build a predictive model based on machine learning. Similar attempts have been done a lot lately. Many of those tests, which frequently made use of information acquired from a number of sources, had encouraging findings. However, we discovered that they were frequently materially biased by their usage of data that revealed information that was a direct result of a business experiencing some kind of success (or failure). A typical illustration of the look-ahead bias is a strategy like this.

Key Words

Supervised learning , Support vector machine ,Logistic Regression

Cite This Article

"Anticipating Company Success or Failure using Machine learning Model", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 5, page no.m584-m604, May-2023, Available :http://www.jetir.org/papers/JETIR2305C83.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Anticipating Company Success or Failure using Machine learning Model", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 5, page no. ppm584-m604, May-2023, Available at : http://www.jetir.org/papers/JETIR2305C83.pdf

Publication Details

Published Paper ID: JETIR2305C83
Registration ID: 517629
Published In: Volume 10 | Issue 5 | Year May-2023
DOI (Digital Object Identifier): http://doi.one/10.1729/Journal.34458
Page No: m584-m604
Country: Meerut, Uttar Pradesh, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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